CN104458432B - Method for determining granularity area of asphalt mixture and for evaluating influence factors - Google Patents
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- IYLGZMTXKJYONK-ACLXAEORSA-N (12s,15r)-15-hydroxy-11,16-dioxo-15,20-dihydrosenecionan-12-yl acetate Chemical compound O1C(=O)[C@](CC)(O)C[C@@H](C)[C@](C)(OC(C)=O)C(=O)OCC2=CCN3[C@H]2[C@H]1CC3 IYLGZMTXKJYONK-ACLXAEORSA-N 0.000 claims description 9
- IYLGZMTXKJYONK-UHFFFAOYSA-N ruwenine Natural products O1C(=O)C(CC)(O)CC(C)C(C)(OC(C)=O)C(=O)OCC2=CCN3C2C1CC3 IYLGZMTXKJYONK-UHFFFAOYSA-N 0.000 claims description 9
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Abstract
The invention relates to a method for determining a granularity area of an asphalt mixture and for evaluating influence factors. The method comprises the following steps: drawing isolines on sections of a rutting test specimen, carrying out a rutting test under conditions of different loads and different times, recording initial breaking positions of the isolines of the sections when the test is finished, collecting the depths of the breaking positions, namely the depths of the granularity areas, averaging the depths of the granularity areas of a plurality of sections to determine the granularity area of the asphalt mixture, and analyzing the influence degrees of different loads and temperatures on the depth of the granularity area of the asphalt mixture by using a grey correlation analysis method, to obtain the correlation degree of the granularity area range with load and temperature, namely obtaining the influence of the load and the temperature on the granularity area of the asphalt mixture. The method provided by the invention has the advantages of being simple and easy in test scheme, high in repeatability, clear and exact in conclusion and helpful to mechanical analysis and calculation of asphalt pavements.
Description
Technical Field
The invention belongs to the technical field of mechanical response evaluation of asphalt mixture structures, and particularly relates to an asphalt mixture granularity area determination and influence factor evaluation method for determining influences of temperature and load on asphalt mixture granularity by adopting an isoline method and based on a rutting test.
Background
The asphalt mixture is a multiphase mixed material composed of asphalt, aggregate, gaps and the like, loose granular materials are connected into a whole through the bonding capacity of asphalt cement, wherein the mass of the aggregate accounts for more than 90% of the total mass of the mixture, and the volume of the aggregate accounts for more than 70%. Thus, asphalt mixes are in fact a heterogeneous, discontinuous material with significant particulate characteristics. However, the mechanical analysis adopted in the design of asphalt pavement is based on an elastic layered system, which is assumed by the theory of the elastic layered system to be isotropic homogeneous material in the current 'design specification for road asphalt pavement' in China. At present, aiming at the research of the particle characteristics of the asphalt mixture, image processing and numerical simulation methods are adopted in a concentrated way, such as digital images, photoelastic mirror image technology, X-ray CT and the like are used for identifying the aggregate orientation, contact condition, segregation, asphalt mastic distribution, void distribution and the like in the mixture, then three-dimensional digital reconstruction is carried out on the internal structure of the asphalt mixture, and numerical simulation is carried out on the strength mechanism and macroscopic mechanical behavior of the mixture, and the methods and means are effective methods for simulating and analyzing the microscopic structure and macroscopic performance of the asphalt mixture, but have obvious defects: (1) the experimental process and data processing are complicated, time-consuming and labor-consuming, and difficult to popularize; (2) the current research method focuses on the physical characteristics of the granularity of the asphalt mixture and neglects the mechanical characteristics of the granularity in a stress field and a temperature field. (3) The evaluation index cannot really reflect the relationship between the granularity characteristic of the mixture and the macroscopic mechanical response of the mixture. Some researchers use the discrete element method to simulate and analyze the mechanical behavior of the asphalt mixture, but due to the complex internal structure and environment of the mixture, the method is difficult to accurately simulate and analyze the mechanical behavior of the mixture. Therefore, the existing method cannot comprehensively analyze the particle characteristics of the mixture, and cannot accurately evaluate and predict the macroscopic mechanical behavior of the mixture by utilizing the particle characteristics, so that a new method and a new idea are urgently needed to describe, analyze and evaluate the particle behavior of the mixture and determine the particle area and the continuity area of the asphalt mixture in a certain temperature field and stress field so as to provide more real and reliable information for mixture design, pavement structure design and mechanical analysis.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the method for determining the granular area of the asphalt mixture, which has the advantages of simple experimental process and accurate experimental result and can truly reflect the granular characteristics of the mixture and the macroscopic mechanical response relationship.
The invention also provides a method for evaluating the influence factors of the granular area of the asphalt mixture, which is simple and can truly reflect the granular characteristics of the mixture and the macroscopic mechanical response relationship and provide a reference basis for the design of the asphalt pavement.
In order to achieve the purpose, the invention adopts the technical scheme that:
the method for determining the granular area of the asphalt mixture comprises the following steps of:
(1) equally cutting the formed track test piece, drawing isolines on the section of each section of the test piece, wherein the first isoline is 10-15 mm away from the top surface of the test piece from top to bottom, and then marking one isoline every 3-5 mm;
(2) carrying out a rut test under the conditions that the load is 0.7-1.1 MPa, the temperature is 0-60 ℃ and the time is 20-60 min, recording the positions where the contour lines of all the sections corresponding to different loads and temperatures begin to break when the test is finished, and measuring the depth of the broken positions;
(3) and taking the average value of the depths of the fracture positions of the plurality of sections, namely the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions, thereby dividing the granular area of the asphalt mixture.
The evaluation method of the influence factors of the asphalt mixture graininess area comprises the following steps:
(1) equally cutting the formed track test piece, drawing isolines on the section of each section of the test piece, wherein the first isoline is 10-15 mm away from the top surface of the test piece from top to bottom, and then marking one isoline every 3-5 mm;
(2) carrying out a rut test under the conditions that the load is 0.7-1.1 MPa, the temperature is 0-60 ℃ and the time is 20-60 min, recording the positions where the contour lines of all the sections corresponding to different loads and temperatures begin to break when the test is finished, and measuring the depth of the broken positions;
(3) taking the average value of the depths of the fracture positions of the plurality of sections, namely the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions, analyzing the influence degree of the two influence factors of the load and the temperature in the step 2) on the depth of the granular area of the asphalt mixture by using a grey correlation degree analysis method to obtain the correlation degree of the granular area range of the asphalt mixture with the load and the temperature, wherein the correlation degree expression is as follows:
in formula (1):
γiindicating different factors versus depth of the granular areaDegree of association;
representing the association relation of the ith factor;
generating a new reference sequence;
generating a new comparison sequence;
X0＝{X0(k) 1,2, …, n is marked as reference sequence X0Representing the depth of the granular area of the asphalt mixture under different temperature and load conditions;
Xi1,2, …, n, which represents the temperature and load conditions corresponding to different particle region depths;
i is 1 and 2, and represents two influence factors of temperature and load;
n is the number of columns;
k represents the kth term of the array;
the larger the obtained correlation is, the larger the influence degree of the influence factor on the range of the granular area of the asphalt mixture is, and the influence of the temperature and the load on the granular area of the asphalt mixture is evaluated.
The method for determining the granular area of the asphalt mixture and evaluating the influence factors comprises the steps of determining the granular area of the asphalt mixture based on mechanical response by adopting an equivalence method and a gray correlation degree analysis method through simulation of rutting experiments under different temperature fields and stress fields, truly reflecting the granular characteristic and macroscopic mechanical response relation of the mixture, facilitating mechanical analysis and calculation of an asphalt pavement, more objectively and accurately knowing and grasping the characteristics of heterogeneity, discontinuity and remarkable granularity of the asphalt mixture, and facilitating accurately grasping the influence of the temperature fields and the stress fields on a design scheme when different pavement structure combinations and mixture types are determined in the design process of the asphalt pavement.
Drawings
Fig. 1 is a schematic view of a specimen cutting process.
FIG. 2 is a displacement contour plot.
Fig. 3 is a partially enlarged view of fig. 2.
FIG. 4 is a cross-sectional view of SMA20 loaded at 30 ℃ for 60 min.
Fig. 5 is a partially enlarged view of fig. 4.
Detailed Description
The technical solution of the present invention will now be described in detail with reference to test data and examples, but the present invention is not limited to the following embodiments.
Example 1
Taking asphalt mixture test pieces of AC20 and SMA20 as examples, the method for determining the granularity area and the influence factors of the asphalt mixture comprises the following steps:
(1) according to technical specification of highway asphalt pavement construction (JTG F40-2004), two asphalt mixtures, AC20 and SMA20, are respectively prepared, the aggregates are limestone crushed stone aggregates produced by Shaanxi Yanyang, the mineral powder is limestone mineral powder, and the asphalt adopts SK70# matrix asphalt. The technical properties of the coarse aggregate, the fine aggregate, the filler and the SK70# matrix asphalt are shown in tables 1-4; the grading design of the two mixtures used is shown in table 5; the optimum oilstone ratio for the final two mixes was: the optimum oilstone ratio of the AC20 mixture was 4.0%, and the optimum oilstone ratio of the SMA20 mixture was 4.5%.
TABLE 1 coarse aggregate technical Properties
TABLE 2 Fine aggregate technical Properties
| Technical index | Test value | Required value |
| Apparent relative density | 2.905 | ≥2.50 |
| Sand equivalent percent% | 83 | ≥60 |
| Angular, s | 48.1 | ≥30 |
| Firmness, degree of | 0.6 | ≤12 |
| Methylene blue, g/kg | 0.9 | ≤25 |
| Content of < 0.075 mm% | 11.4 | ≤15 |
TABLE 3 Filler basic Properties
TABLE 4 SK70# base asphalt basic Properties
TABLE 5 asphalt mixture design grading Table (Unit:%)
According to road engineering asphalt and asphalt mixture test regulations (JTG E20-2011) issued by the ministry of transportation, T0703-2011 uses a rolling forming method to manufacture test blocks of AC20 and SMA20 hot-mixed asphalt mixtures, the test blocks are all 300mm in length, 300mm in width and 100mm in thickness, a track plate is transversely cut into 3 equal parts to obtain 4 sections as shown in figure 1, contour lines are marked on the obtained sections to facilitate observation of the change rule of particles in the sections in the experiment process, wherein the first line is 10mm away from the top surface of the test block, and straight line segments are marked at intervals of 5mm as shown in figures 2 and 3.
(2) According to the requirements of T0719-2011, carrying out a rutting experiment under the load condition of 0.7MPa at four different temperatures of 30 ℃, 40 ℃, 50 ℃ and 60 ℃ for 60 minutes, recording the position where a lower section contour line starts to be broken when the rutting experiment is completed, namely the range of a measured graininess area, and carrying out image acquisition on the test piece section after the test by using a camera so as to carry out data acquisition and analysis, wherein the obtained data are shown in a table 6; according to the requirements of T0719-2011, rutting experiments are carried out on two mixtures at an experiment temperature of 50 ℃ under the load conditions of 0.7MPa, 0.9MPa and 1.1MPa respectively, the depth of a particle region is measured, namely the depth of the fracture position is recorded after the experiment is carried out for 60 minutes, the particle region is a region generating uneven mechanical response under the action of external load, and the depth represented by the fracture position of the fracture contour is the depth of the particle region of the asphalt mixture; and (3) carrying out image acquisition on the section of the test piece after the test by using a camera so as to carry out data acquisition and analysis, wherein the obtained data are shown in a table 7.
TABLE 6 granular zone depth recordings of mixes at different temperatures with a load of 0.7MPa
| Test temperature | SMA20 | AC20 |
| 30℃ | 3.75cm | 1.5cm |
| 40℃ | 4.5cm | 1.875cm |
| 50℃ | 5.125cm | 3.125cm |
| 60℃ | 7.125cm | 5.25cm |
TABLE 7 granular zone depth record of the mix at 50 ℃ under different load sizes
(3) And taking the average value of the depths of the fracture positions of the plurality of sections, namely the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions, thereby dividing the granular area of the asphalt mixture.
After the granular area of the asphalt mixture is determined, the influence factors of the granular area of the asphalt mixture can be evaluated by utilizing grey correlation analysis according to the depth of the granular area, and the method specifically comprises the following steps:
the method is characterized in that a grey system theory is adopted to analyze data, a similar or dissimilar program of development situations among factors is used as a standard, the association degree among the factors is further measured, the association degree of a target value (a reference number sequence) and an influence factor (a comparison number sequence) is calculated, then the association degree is sorted, and main factors influencing the target value are searched according to the sorting of the association degree.
Analyzing the influence degree of the two influence factors of the load and the temperature in the step (2) on the depth of the granular area of the asphalt mixture by using a grey correlation degree analysis method according to the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions determined in the step (3) to obtain the correlation degree of the range of the granular area of the asphalt mixture with the load and the temperature, wherein the probabilities of the reference number series and the comparison number series in the correlation analysis are as follows:
setting: x0＝{X0(k) 1,2, …, n is marked as reference sequence X0；
Xi＝{Xi(k) 1,2, …, n is recorded as a comparison sequence Xi(i＝1，2)。
And removing the average value of each sequence, namely averaging the sequences to obtain a new sequence as follows:
wherein,
wherein,
Y0: new reference series, Yi: a new comparison series.
And comparing the incidence relation of the curve and the reference curve at the k moment (index and space), wherein the specific calculation formula is as follows:
wherein: k is 1,2, …, n; i is 1, 2.
In the formula: zeta-resolution coefficient, its value is between 0 and 1;
the expression of the degree of association is:
γii.e. curve Xi(Yi) To the reference curve X0(Y0) Degree of association of (a) ("gamma")iLarger, i.e. representing XiAnd X0The closer the trend of (A) is, the more X is showniTo X0The greater the effect of (c). In Table 8 belowSeveral different test combinations are listed and table 9 shows the depth of demarcation of the asphalt mixture particulate zones for several different combinations of test conditions.
TABLE 8 Condition combination
| Condition combination | Temperature (unit:. degree. C.) | Load (Unit: MPa) |
| 1 | 30 | 0.7 |
| 2 | 40 | 0.7 |
| 3 | 50 | 0.7 |
| 4 | 60 | 0.7 |
| 5 | 50 | 0.9 |
| 6 | 50 | 1.1 |
TABLE 9 graininess zone depth of different mixes under different combination of conditions
According to the grey correlation principle, the depth limit of the granular area obtained by combining the two mixtures under various conditions is used as a reference number sequence X0Using temperature and load magnitude as comparison sequence X1，X2The gray correlation analysis raw data thus obtained are shown in table 10 below.
TABLE 10 Grey correlation analysis raw data
| Item | 1 | 2 | 3 | 4 | 5 | 6 |
| X01 | 1.5cm | 1.875cm | 3cm | 5.125cm | 4.5cm | 5.75cm |
| X02 | 3.75cm | 4.5cm | 5.125cm | 7.125cm | 5.875cm | 7cm |
| X1 | 30℃ | 40℃ | 50℃ | 60℃ | 50℃ | 50℃ |
| X2 | 0.7MPa | 0.7MPa | 0.7MPa | 0.7MPa | 0.9MPa | 1.1MPa |
To further make the data dimensionless quantized, the raw data in table 10 above is averaged, and the data in each row is divided by the average value of the row and column. The data after processing are shown in table 11.
TABLE 11 Grey correlation analysis data after equalization
| Item | 1 | 2 | 3 | 4 | 5 | 6 |
| Y01 | 0.4137931 | 0.5172414 | 0.8275862 | 1.4137931 | 1.2413793 | 1.5862069 |
| Y02 | 0.6741573 | 0.8089888 | 0.9213483 | 1.2808989 | 1.0561798 | 1.258427 |
| Y1 | 0.6428571 | 0.8571429 | 1.0714286 | 1.2857143 | 1.0714286 | 1.0714286 |
| Y2 | 0.875 | 0.875 | 0.875 | 0.875 | 1.125 | 1.375 |
The correlation analysis results of the material heterogeneous range boundary depth obtained by rutting test of the test pieces of 2 different gradation mixtures and two influencing factors of temperature and load conditions, which are calculated according to the gray correlation analysis method introduced in the previous section, are shown in the following table 12, wherein ξ1、ξ2Respectively relating temperature and load conditions with test results of 2 different mixtures; gamma ray1、γ2The correlation between the temperature and load conditions and the test results of 2 different mixes was determined.
TABLE 12 results of Grey correlation analysis
The relevance matrix R is as follows:
from the data shown in table 12 above, it can be seen that: the association degree of the temperature and the load of the AC20 asphalt mixture and the non-granular area range inside the mixture is as follows: gamma ray1＜γ2；
SMA20 asphalt mixture, temperature, load and mixtureThe relevance of the internal heterogeneous region range is as follows: gamma ray1＞γ2；
From the above conclusion analysis, it can be known that: in the two different graded mixes of this example, tests and analyses performed on SMA20 and the mix revealed that the effect of the load size on the range of the internal particle area of the mix was significantly stronger than the effect of the temperature on it. For the AC20 mix, the temperature factor is slightly more correlated with the extent of the particulate region within the mix than the applied load. The reason for the above results is analyzed, and the reason is that the strength of the discontinuous graded mixture is mainly from the embedding and extruding effect between the main source and the internal aggregate, so the size of the temperature influence is weaker than that of the external load.
Claims (2)
1. A method for determining the granular area of an asphalt mixture is characterized by comprising the following steps:
(1) equally cutting the formed track test piece, drawing isolines on the section of each section of the test piece, wherein the first isoline is 10-15 mm away from the top surface of the test piece from top to bottom, and then marking one isoline every 3-5 mm;
(2) carrying out a rut test under the conditions that the load is 0.7-1.1 MPa, the temperature is 0-60 ℃ and the time is 20-60 min, recording the positions where the contour lines of all the sections corresponding to different loads and temperatures begin to break when the test is finished, and measuring the depth of the broken positions;
(3) and taking the average value of the depths of the fracture positions of the plurality of sections, namely the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions, thereby dividing the granular area of the asphalt mixture.
2. The method for evaluating the influence factors of the granular area of the asphalt mixture is characterized by comprising the following steps of:
(1) equally cutting the formed track test piece, drawing isolines on the section of each section of the test piece, wherein the first isoline is 10-15 mm away from the top surface of the test piece from top to bottom, and then marking one isoline every 3-5 mm;
(2) carrying out a rut test under the conditions that the load is 0.7-1.1 MPa, the temperature is 0-60 ℃ and the time is 20-60 min, recording the positions where the contour lines of all the sections corresponding to different loads and temperatures begin to break when the test is finished, and measuring the depth of the broken positions;
(3) taking the average value of the depths of the fracture positions of the plurality of sections, namely the depth of the granular area of the asphalt mixture under the corresponding load and temperature conditions, analyzing the influence degree of the two influence factors of the load and the temperature in the step 2) on the depth of the granular area of the asphalt mixture by using a grey correlation degree analysis method to obtain the correlation degree of the granular area range of the asphalt mixture with the load and the temperature, wherein the correlation degree expression is as follows:
in formula (1):
γirepresenting the relevance of different factors to the depth of the granular region;
representing the association relation of the ith factor;
in the formula: zeta-resolution coefficient, its value is between 0 and 1;
generating a new reference sequence;
generating a new comparison sequence;
X0＝{X0(k) 1,2, …, n is marked as reference sequence X0，Representing the depth of the granular area of the asphalt mixture under different temperature and load conditions;
Xi1,2, …, n, which represents the temperature and load conditions corresponding to different particle region depths;
i is 1 and 2, and represents two influence factors of temperature and load;
n is the number of columns;
k represents the kth term of the array;
the larger the obtained correlation is, the larger the influence degree of the influence factor on the range of the granular area of the asphalt mixture is, and the influence of the temperature and the load on the granular area of the asphalt mixture is evaluated.
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| CN105203593B (en) * | 2015-10-14 | 2018-02-02 | 东南大学 | A kind of pitch based on compound micro-structure characteristic and the thermal conductivity factor inversion method that gathers materials |
| CN106770702B (en) * | 2016-11-17 | 2019-07-02 | 天津城建大学 | Based on grey relevance analysis modified pitch aging research method |
| CN106596610A (en) * | 2016-12-19 | 2017-04-26 | 东南大学 | Test method for determining new and old asphalt dissolution index of hot recycled asphalt mixture |
| CN108399621B (en) * | 2018-03-29 | 2023-10-13 | 招商局重庆交通科研设计院有限公司 | Engineering test piece rapid identification method and system |
| CN109409367B (en) * | 2018-11-02 | 2021-09-21 | 四川大学 | Infrared image grading identification method based on rock temperature rise characteristics |
| CN109709095A (en) * | 2018-12-31 | 2019-05-03 | 山西省交通科学研究院 | A kind of Cement Stable Macadam Mixture fast health-promotion gradation interlocking condition evaluation method |
| CN110044741A (en) * | 2019-04-29 | 2019-07-23 | 山东省交通科学研究院 | A kind of multipoint mode asphalt high temperature anti-rut behavior evaluation method |
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| CN102445397A (en) * | 2011-10-14 | 2012-05-09 | 河海大学 | Rut testing device for asphalt mixture of mountain roads and method thereof |
| CN103698497A (en) * | 2013-11-04 | 2014-04-02 | 浙江大学 | Method for evaluating asphalt mixture aggregate distribution state |
| CN103575752A (en) * | 2013-11-05 | 2014-02-12 | 浙江大学 | Method for evaluating uniformity of asphalt mixture |
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